ArticleLipids in health and disease2024
Assessment of whole-body and regional body fat using abdominal quantitative computed tomography in Chinese women and men.
Article in Lipids in health and disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 8 citations in OpenAlex.
- Optimizing CT-Based Models for Predicting Whole-Body Fat in Rabbits.Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association · 2026Article
- Comparison of body composition in female college students with different degrees of obesity.Scientific reports · 2026Article
- Association between fibrinogen-to-albumin ratio and all-cause mortality in critically ill patients with atrial fibrillation: a retrospective study using the MIMIC-IV database.European journal of medical research · 2025Article
- Anti-obesity peptides from food: Production, evaluation, sources, and commercialization.Comprehensive reviews in food science and food safety · 2025Review
- Article
- Development of a new threshold for pericoronary fat attenuation based on 40 keV virtual monoenergetic images from dual-energy spectral CT.Frontiers in cardiovascular medicine · 2025Article
- Body fat ratio as a novel predictor of complications and survival after rectal cancer surgery.Frontiers in nutrition · 2024Article
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundBeing overweight or obese has become a serious public health concern, and accurate assessment of body composition is particularly important. More precise indicators of body fat composition include visceral adipose tissue (VAT) mass and total body fat percentage (TBF%). Study objectives included examining the relationships between abdominal fat mass, measured by quantitative computed tomography (QCT), and the whole-body and regional fat masses, measured by dual energy X-ray absorptiometry (DXA), as well as to derive equations for the prediction of TBF% using data obtained from multiple QCT slices.
methodsWhole-body and regional fat percentage were quantified using DXA in Chinese males (n = 68) and females (n = 71) between the ages of 24 and 88. All the participants also underwent abdominal QCT measurement, and their VAT mass and visceral fat volume (VFV) were assessed using QCT and DXA, respectively.
resultsDXA-derived TBF% closely correlated with QCT abdominal fat percentage (r = 0.89-0.93 in men and 0.76-0.88 in women). Stepwise regression showed that single-slice QCT data were the best predictors of DXA-derived TBF%, DXA android fat percentage and DXA gynoid fat percentage. Cross-validation analysis showed that TBF% and android fat percentage could be accurately predicted using QCT data in both sexes. There were close correlations between QCT-derived and DXA-derived VFV (r = 0.97 in men and 0.93 in women).
conclusionClinicians can assess the TBF% and android and gynoid fat percentages of Chinese women and men by analysing existing abdominal CT-derived data using the QCT technique.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.